mean time between defects

简明释义

故障平均间隔时间

英英释义

例句

1.Our goal is to increase the mean time between defects 缺陷平均发生时间 from 30 days to 60 days this year.

我们的目标是将mean time between defects 缺陷平均发生时间从30天提高到60天。

2.To enhance product quality, we need to analyze the mean time between defects 缺陷平均发生时间 in our manufacturing process.

为了提高产品质量，我们需要分析制造过程中mean time between defects 缺陷平均发生时间。

3.The engineering team reported that the mean time between defects 缺陷平均发生时间 for the new software version has improved significantly.

工程团队报告称，新软件版本的mean time between defects 缺陷平均发生时间显著改善。

4.By implementing better testing protocols, we aim to improve the mean time between defects 缺陷平均发生时间 in our applications.

通过实施更好的测试协议，我们旨在改善应用程序中的mean time between defects 缺陷平均发生时间。

5.The mean time between defects 缺陷平均发生时间 is a critical metric for assessing software reliability.

对于评估软件可靠性来说，mean time between defects 缺陷平均发生时间是一个关键指标。

作文

In the realm of quality assurance and software development, the concept of mean time between defects plays a crucial role in measuring the reliability and performance of a system. This metric refers to the average time that elapses between the occurrence of defects in a software application or product. Understanding the mean time between defects is essential for organizations aiming to improve their products and reduce the frequency of errors that can disrupt user experience.To grasp the significance of mean time between defects, it is important to first recognize what constitutes a defect in software. A defect can be anything from a minor bug that causes a slight inconvenience to a critical failure that may compromise the entire system. The presence of defects not only affects the functionality of the software but also impacts user satisfaction and trust. Therefore, businesses need to monitor and minimize these defects to maintain a competitive edge in the market.Calculating the mean time between defects involves tracking the total operational time of the software and dividing it by the number of defects that occur during that period. For example, if a software application runs for 1000 hours and experiences 5 defects, the mean time between defects would be 200 hours. This means that, on average, users can expect to encounter a defect every 200 hours of usage. By regularly calculating this metric, teams can identify trends and make informed decisions about where to focus their improvement efforts.One of the primary benefits of monitoring the mean time between defects is that it provides valuable insights into the quality of the software development process. If the mean time between defects is decreasing over time, it may indicate that the development team is becoming more efficient in identifying and resolving issues before they reach the end-user. Conversely, an increasing mean time between defects might signal underlying problems in the development or testing phases, prompting teams to investigate and address potential weaknesses.Moreover, the mean time between defects can serve as a benchmark for comparing different software projects or versions. For instance, if a new release of a software product shows a significantly higher mean time between defects than its predecessor, it may suggest that the new version is more stable and reliable. This comparison can help stakeholders make decisions about upgrades and resource allocation.However, it is essential to note that while the mean time between defects is a valuable metric, it should not be the sole indicator of software quality. Other factors, such as user feedback, performance metrics, and overall system usability, should also be considered when evaluating a product's success. Additionally, focusing solely on reducing defects may lead to a culture of fear within development teams, where employees are hesitant to report issues or take risks that could lead to innovation.In conclusion, the mean time between defects is a fundamental metric in the world of software development and quality assurance. It helps organizations assess their performance, identify areas for improvement, and ultimately deliver better products to their users. By understanding and leveraging this metric, companies can enhance their software quality, increase customer satisfaction, and foster a culture of continuous improvement. As technology continues to evolve, maintaining a keen focus on the mean time between defects will be vital for sustaining success in an increasingly competitive landscape.

在质量保证和软件开发领域，缺陷平均间隔时间的概念在衡量系统的可靠性和性能方面起着至关重要的作用。这个指标指的是在软件应用程序或产品中发生缺陷之间的平均时间。理解缺陷平均间隔时间对于希望改善产品并减少可能干扰用户体验的错误频率的组织至关重要。要抓住缺陷平均间隔时间的重要性，首先需要认识到什么构成软件中的缺陷。缺陷可以是从轻微的bug（造成轻微的不便）到关键的故障（可能会危及整个系统）的任何事情。缺陷的存在不仅影响软件的功能，还影响用户的满意度和信任。因此，企业需要监控并最小化这些缺陷，以在市场上保持竞争优势。计算缺陷平均间隔时间涉及跟踪软件的总运行时间，并将其除以在该期间内发生的缺陷数量。例如，如果一个软件应用程序运行了1000小时并经历了5个缺陷，那么缺陷平均间隔时间将为200小时。这意味着，平均而言，用户可以预期每200小时的使用中会遇到一个缺陷。通过定期计算这个指标，团队可以识别趋势并做出明智的决策，决定将改进工作重点放在哪里。监测缺陷平均间隔时间的主要好处之一是它提供了有关软件开发过程质量的宝贵见解。如果缺陷平均间隔时间随着时间的推移而减少，这可能表明开发团队在识别和解决问题方面变得更加高效，从而在问题到达最终用户之前加以解决。相反，缺陷平均间隔时间的增加可能表明开发或测试阶段存在潜在问题，促使团队进行调查并解决潜在的弱点。此外，缺陷平均间隔时间可以作为比较不同软件项目或版本的基准。例如，如果某软件产品的新版本显示出明显高于其前身的缺陷平均间隔时间，这可能表明新版本更稳定、更可靠。这样的比较可以帮助利益相关者做出关于升级和资源分配的决策。然而，必须注意的是，尽管缺陷平均间隔时间是一个有价值的指标，但不应成为软件质量的唯一指标。在评估产品成功时，用户反馈、性能指标和整体系统可用性等其他因素也应考虑在内。此外，过于专注于减少缺陷可能导致开发团队内部产生恐惧文化，员工在报告问题或冒险创新时可能会犹豫。总之，缺陷平均间隔时间是软件开发和质量保证领域的基本指标。它帮助组织评估其绩效，识别改进领域，并最终向用户交付更好的产品。通过理解和利用这一指标，公司可以提高软件质量，增加客户满意度，并培养持续改进的文化。随着技术的不断发展，保持对缺陷平均间隔时间的敏锐关注将对在日益竞争的环境中维持成功至关重要。